Presentation for El Paso County IT on the concepts of Object-Relational Mapping and Dependency injection with a particular focus on the Microsoft Unity DI Container and the Microsoft Entity Framework. Delivered on October 2, 2012.
Object Relational Mapping In Real World ApplicationsPhilWinstanley
Object/Relational Mapping (ORM) is a technique that maps object-oriented classes and properties to relational database tables and fields. ORM leverages existing object-oriented programming skills and provides an abstraction layer over databases. There are important differences between ORM and traditional data access approaches like ADO.NET in areas like data binding, business logic implementation, and support for multi-tier architectures.
Celery is a distributed task queue that allows long-running processes to be executed asynchronously outside of the main request-response cycle. It uses message brokers like RabbitMQ to distribute jobs to worker nodes for processing. This improves request performance and allows tasks to be distributed across multiple machines. Common use cases include asynchronous tasks like email sending, long database operations, image/video processing, and external API calls.
Pig is a platform for analyzing large datasets that uses a high-level language to express data analysis programs. It compiles programs into MapReduce jobs that can run in parallel on a Hadoop cluster. Pig provides built-in functions for common tasks and allows users to define their own custom functions (UDFs). Programs can be run locally or on a Hadoop cluster by placing commands in a script or Grunt shell.
This document discusses Object Relational Mapping (ORM), which maps objects in an application to tables and rows in a relational database. ORM provides benefits like leveraging object-oriented programming skills and abstracting away SQL. Common ORM operations like create, read, update, and delete records are demonstrated. Associations between objects like one-to-one, one-to-many, and many-to-many are covered. Popular ORM frameworks for languages like Ruby on Rails, Java, .NET, PHP, and iOS are listed.
This document discusses OrientDB, an open source NoSQL document database. It provides high performance and scalability through horizontal scaling across servers. It supports flexible schemas, full text search, and graph-like connections between data. The document describes OrientDB's products, data model using clusters, Java and RESTful APIs, examples using records and POJOs, and security features.
Object Relational Mapping In Real World ApplicationsPhilWinstanley
Object/Relational Mapping (ORM) is a technique that maps object-oriented classes and properties to relational database tables and fields. ORM leverages existing object-oriented programming skills and provides an abstraction layer over databases. There are important differences between ORM and traditional data access approaches like ADO.NET in areas like data binding, business logic implementation, and support for multi-tier architectures.
Celery is a distributed task queue that allows long-running processes to be executed asynchronously outside of the main request-response cycle. It uses message brokers like RabbitMQ to distribute jobs to worker nodes for processing. This improves request performance and allows tasks to be distributed across multiple machines. Common use cases include asynchronous tasks like email sending, long database operations, image/video processing, and external API calls.
Pig is a platform for analyzing large datasets that uses a high-level language to express data analysis programs. It compiles programs into MapReduce jobs that can run in parallel on a Hadoop cluster. Pig provides built-in functions for common tasks and allows users to define their own custom functions (UDFs). Programs can be run locally or on a Hadoop cluster by placing commands in a script or Grunt shell.
This document discusses Object Relational Mapping (ORM), which maps objects in an application to tables and rows in a relational database. ORM provides benefits like leveraging object-oriented programming skills and abstracting away SQL. Common ORM operations like create, read, update, and delete records are demonstrated. Associations between objects like one-to-one, one-to-many, and many-to-many are covered. Popular ORM frameworks for languages like Ruby on Rails, Java, .NET, PHP, and iOS are listed.
This document discusses OrientDB, an open source NoSQL document database. It provides high performance and scalability through horizontal scaling across servers. It supports flexible schemas, full text search, and graph-like connections between data. The document describes OrientDB's products, data model using clusters, Java and RESTful APIs, examples using records and POJOs, and security features.
The document is a slide presentation on MongoDB that introduces the topic and provides an overview. It defines MongoDB as a document-oriented, open source database that provides high performance, high availability, and easy scalability. It also discusses MongoDB's use for big data applications, how it is non-relational and stores data as JSON-like documents in collections without a defined schema. The presentation provides steps for installing MongoDB and describes some basic concepts like databases, collections, documents and commands.
Resource bundles are used to support internationalization (i18n) and externalize configuration parameters from code. They work by storing configurable key-value pairs in properties files that can be read at runtime. The document discusses how to create properties files, read values from them using the ResourceBundle class, and support multiple languages by creating localized properties files for different locales. It also explains the Locale class used to retrieve the correct localized properties file based on language, country, and variant settings.
This document discusses using Celery and RabbitMQ to handle asynchronous and distributed tasks in Python. It provides an overview of Celery and RabbitMQ and how they can be used together. Examples are given of defining and running tasks, including periodic tasks, task sets, routing, retries, and interacting with results. The benefits of using Celery for slow, memory-intensive, or externally-dependent tasks are highlighted.
MySQL is a free, open-source relational database management system that is ideal for both small and large applications. PHP can connect to and interact with a MySQL database using extensions like MySQLi or PDO. The document provides code examples for connecting to a MySQL database, executing queries to retrieve, insert, update, and delete data, and other common MySQL operations when using PHP.
This is one of the 15 minute "TED" style talk presented as part of the Database Symposium at the ODTUG Kscope18 conference. In this presentation @SQLMaria coveres topics like what data type you should use to store JSON documents (varchar2, clob or blob) the pro's and con's of using an IS JSON check constraint, and how to load, index, and query JSON documents.
Лекція 1. Основні поняття хмарних технологій
По матеріалах:
Інтернет +
http://mirknig.su/knigi/programming/114558-vvedenie-v-oblachnye-vychisleniya-2-e-izd.html
This document provides instructions for interfacing Python with MySQL. It discusses installing the MySQL connector library in Python, connecting to a MySQL database, executing queries to retrieve and manipulate data, and performing CRUD (create, read, update, delete) operations. Key steps include importing the MySQL connector, opening a connection, creating a cursor to execute queries, fetching data from the result set, and committing changes to the database. Examples are provided for selecting, inserting, updating, and deleting data as well as creating databases and tables.
This document provides an overview of MongoDB administration commands and CRUD operations. It discusses how to select databases, show collections, import/export data, and perform basic CRUD operations like insert, find, update, and remove in MongoDB. It also covers additional find methods like logical operators, array operations, and accessing embedded documents. Methods for updating include $set, $inc, $unset, and multi updates.
Design your application using Persistent Graphs and OrientDBLuca Garulli
The document discusses OrientDB, a document-graph NoSQL database management system. It highlights key features such as supporting flexible schemas, ACID transactions, a powerful SQL dialect, complex types, and native graph support through direct links between vertices without joins. It also notes OrientDB's performance, extensibility through multiple language bindings, and ability to handle both document and graph data models through a single unified interface.
This presentation will demonstrate how you can use the aggregation pipeline with MongoDB similar to how you would use GROUP BY in SQL and the new stage operators coming 3.4. MongoDB’s Aggregation Framework has many operators that give you the ability to get more value out of your data, discover usage patterns within your data, or use the Aggregation Framework to power your application. Considerations regarding version, indexing, operators, and saving the output will be reviewed.
Data processing with celery and rabbit mqJeff Peck
This document summarizes a presentation about using Python, Celery, and RabbitMQ for data processing. It describes using Celery to efficiently process large amounts of data from multiple sources in parallel and deploy the results to different targets. It provides a practical example of using Celery to parse 500,000 emails and load them into a MySQL database and Elasticsearch index. The example code demonstrates setting up Celery, defining tasks, and using Fabric to start workers and process files.
This document discusses the CSV (comma separated values) module in Python. It describes how to read and write CSV files using the csv.reader() and csv.writer() functions. It covers options for quoting fields, dialects for specifying CSV formats, and the csv.Sniffer class for automatically detecting delimiters in CSV data. Key points include:
- The csv.reader() function can be used to iterate through rows in a CSV file.
- The csv.writer() function writes data to a CSV file.
- The quoting parameter controls how non-numeric fields are handled.
- Dialects allow grouping common CSV options together for consistent parsing/writing.
In this presentation, Amit explains querying with MongoDB in detail including Querying on Embedded Documents, Geospatial indexing and Querying etc.
The tutorial includes a recap of MongoDB, the wrapped queries, queries which are using modifiers, Upsert (saving/ updating queries), updating multiple documents at once, etc. Moreover, it gives a brief explanation about specifying which keys to return, the AND/OR queries, querying on embedded documents, cursors and Geospatial indexing. The tutorial begins with a section about MongoDB which includes steps to install and start MongoDB, to show and select Database, to drop collection and database, steps to insert a document and get up to 20 matching documents. Furthermore, it also includes steps to store and use Javascript functions on the server side.
The next section after the MongoDB section is about wrapped queries and queries using modifiers which includes the types of wrapped queries which are used like LikeQuery, SortQuery, LimitQuery, SkipQuery. It also includes the types of queries using modifiers like NotEqualModifier, Greater/Lesser modifier, Increment Modifier, Set Modifier, Unset Modifier, Push Modifier etc. Then comes the section about Upsert (Save or update). There are steps mentioned for saving or updating queries in this section.
At the same time, there are steps to update multiple documents altogether. The next section which is called “specifying which keys to return” talks about ways to specify the keys the user wants. After this section comes OR/AND query. It informs us about the general steps to do an OR query. Also, it includes the general steps to do an AND query. After this section comes another section called “querying on embedded document” which tells the user about ways of querying for an embedded document.
One of the important sections of this tutorial is about cursors, uses of a cursor and also methods to chain additional options onto a query before it is performed. Following is a section about indexing which talks about indexing as a term and how indexing helps in improving the query’s speed. At the end is a section which gives a brief explanation on geospatial indexing which is another type of query that became common with the emergence of mobile devices. Also, it includes the ways geospatial queries can be performed.
This document provides an introduction to Node.js. It discusses why JavaScript can be strange, but explains that JavaScript is relevant as the language of the web. It then discusses what Node.js is and its event-driven, non-blocking architecture. Popular Node.js applications like HTTP servers, REST APIs, and web sockets are mentioned. Examples are provided of building a simple web app with Express and Jade, a REST API with Restify, and using web sockets with Socket.io. The document also discusses using Mongoose with MongoDB for data modeling.
Oracle database hot backup and recoveryArun Sharma
Oracle database hot backup and recovery process. Please note that this method is no longer used in real-time as RMAN does way better job at database backup & recovery.
This is just good to know activity but do not implement it in real time. Knowing how Oracle hot backup and recovery process works, it helps you understand Oracle RMAN better.
Here is the full link of article: https://www.support.dbagenesis.com/post/oracle-database-hot-backup-and-recovery
The document discusses object/relational mapping and how to implement a domain model in Java using Hibernate. It covers creating POJO classes, mapping properties and associations, handling primary keys and inheritance. Key points include:
- Implement domain model as POJOs with getters/setters and use Hibernate XML mappings to connect to database
- Map properties and identifiers, handle one-to-many and many-to-one associations
- Support inheritance with single table, joined subclass, or table per concrete class strategies
- Ensure bidirectional relationships are properly managed
The document is a slide presentation on MongoDB that introduces the topic and provides an overview. It defines MongoDB as a document-oriented, open source database that provides high performance, high availability, and easy scalability. It also discusses MongoDB's use for big data applications, how it is non-relational and stores data as JSON-like documents in collections without a defined schema. The presentation provides steps for installing MongoDB and describes some basic concepts like databases, collections, documents and commands.
Resource bundles are used to support internationalization (i18n) and externalize configuration parameters from code. They work by storing configurable key-value pairs in properties files that can be read at runtime. The document discusses how to create properties files, read values from them using the ResourceBundle class, and support multiple languages by creating localized properties files for different locales. It also explains the Locale class used to retrieve the correct localized properties file based on language, country, and variant settings.
This document discusses using Celery and RabbitMQ to handle asynchronous and distributed tasks in Python. It provides an overview of Celery and RabbitMQ and how they can be used together. Examples are given of defining and running tasks, including periodic tasks, task sets, routing, retries, and interacting with results. The benefits of using Celery for slow, memory-intensive, or externally-dependent tasks are highlighted.
MySQL is a free, open-source relational database management system that is ideal for both small and large applications. PHP can connect to and interact with a MySQL database using extensions like MySQLi or PDO. The document provides code examples for connecting to a MySQL database, executing queries to retrieve, insert, update, and delete data, and other common MySQL operations when using PHP.
This is one of the 15 minute "TED" style talk presented as part of the Database Symposium at the ODTUG Kscope18 conference. In this presentation @SQLMaria coveres topics like what data type you should use to store JSON documents (varchar2, clob or blob) the pro's and con's of using an IS JSON check constraint, and how to load, index, and query JSON documents.
Лекція 1. Основні поняття хмарних технологій
По матеріалах:
Інтернет +
http://mirknig.su/knigi/programming/114558-vvedenie-v-oblachnye-vychisleniya-2-e-izd.html
This document provides instructions for interfacing Python with MySQL. It discusses installing the MySQL connector library in Python, connecting to a MySQL database, executing queries to retrieve and manipulate data, and performing CRUD (create, read, update, delete) operations. Key steps include importing the MySQL connector, opening a connection, creating a cursor to execute queries, fetching data from the result set, and committing changes to the database. Examples are provided for selecting, inserting, updating, and deleting data as well as creating databases and tables.
This document provides an overview of MongoDB administration commands and CRUD operations. It discusses how to select databases, show collections, import/export data, and perform basic CRUD operations like insert, find, update, and remove in MongoDB. It also covers additional find methods like logical operators, array operations, and accessing embedded documents. Methods for updating include $set, $inc, $unset, and multi updates.
Design your application using Persistent Graphs and OrientDBLuca Garulli
The document discusses OrientDB, a document-graph NoSQL database management system. It highlights key features such as supporting flexible schemas, ACID transactions, a powerful SQL dialect, complex types, and native graph support through direct links between vertices without joins. It also notes OrientDB's performance, extensibility through multiple language bindings, and ability to handle both document and graph data models through a single unified interface.
This presentation will demonstrate how you can use the aggregation pipeline with MongoDB similar to how you would use GROUP BY in SQL and the new stage operators coming 3.4. MongoDB’s Aggregation Framework has many operators that give you the ability to get more value out of your data, discover usage patterns within your data, or use the Aggregation Framework to power your application. Considerations regarding version, indexing, operators, and saving the output will be reviewed.
Data processing with celery and rabbit mqJeff Peck
This document summarizes a presentation about using Python, Celery, and RabbitMQ for data processing. It describes using Celery to efficiently process large amounts of data from multiple sources in parallel and deploy the results to different targets. It provides a practical example of using Celery to parse 500,000 emails and load them into a MySQL database and Elasticsearch index. The example code demonstrates setting up Celery, defining tasks, and using Fabric to start workers and process files.
This document discusses the CSV (comma separated values) module in Python. It describes how to read and write CSV files using the csv.reader() and csv.writer() functions. It covers options for quoting fields, dialects for specifying CSV formats, and the csv.Sniffer class for automatically detecting delimiters in CSV data. Key points include:
- The csv.reader() function can be used to iterate through rows in a CSV file.
- The csv.writer() function writes data to a CSV file.
- The quoting parameter controls how non-numeric fields are handled.
- Dialects allow grouping common CSV options together for consistent parsing/writing.
In this presentation, Amit explains querying with MongoDB in detail including Querying on Embedded Documents, Geospatial indexing and Querying etc.
The tutorial includes a recap of MongoDB, the wrapped queries, queries which are using modifiers, Upsert (saving/ updating queries), updating multiple documents at once, etc. Moreover, it gives a brief explanation about specifying which keys to return, the AND/OR queries, querying on embedded documents, cursors and Geospatial indexing. The tutorial begins with a section about MongoDB which includes steps to install and start MongoDB, to show and select Database, to drop collection and database, steps to insert a document and get up to 20 matching documents. Furthermore, it also includes steps to store and use Javascript functions on the server side.
The next section after the MongoDB section is about wrapped queries and queries using modifiers which includes the types of wrapped queries which are used like LikeQuery, SortQuery, LimitQuery, SkipQuery. It also includes the types of queries using modifiers like NotEqualModifier, Greater/Lesser modifier, Increment Modifier, Set Modifier, Unset Modifier, Push Modifier etc. Then comes the section about Upsert (Save or update). There are steps mentioned for saving or updating queries in this section.
At the same time, there are steps to update multiple documents altogether. The next section which is called “specifying which keys to return” talks about ways to specify the keys the user wants. After this section comes OR/AND query. It informs us about the general steps to do an OR query. Also, it includes the general steps to do an AND query. After this section comes another section called “querying on embedded document” which tells the user about ways of querying for an embedded document.
One of the important sections of this tutorial is about cursors, uses of a cursor and also methods to chain additional options onto a query before it is performed. Following is a section about indexing which talks about indexing as a term and how indexing helps in improving the query’s speed. At the end is a section which gives a brief explanation on geospatial indexing which is another type of query that became common with the emergence of mobile devices. Also, it includes the ways geospatial queries can be performed.
This document provides an introduction to Node.js. It discusses why JavaScript can be strange, but explains that JavaScript is relevant as the language of the web. It then discusses what Node.js is and its event-driven, non-blocking architecture. Popular Node.js applications like HTTP servers, REST APIs, and web sockets are mentioned. Examples are provided of building a simple web app with Express and Jade, a REST API with Restify, and using web sockets with Socket.io. The document also discusses using Mongoose with MongoDB for data modeling.
Oracle database hot backup and recoveryArun Sharma
Oracle database hot backup and recovery process. Please note that this method is no longer used in real-time as RMAN does way better job at database backup & recovery.
This is just good to know activity but do not implement it in real time. Knowing how Oracle hot backup and recovery process works, it helps you understand Oracle RMAN better.
Here is the full link of article: https://www.support.dbagenesis.com/post/oracle-database-hot-backup-and-recovery
The document discusses object/relational mapping and how to implement a domain model in Java using Hibernate. It covers creating POJO classes, mapping properties and associations, handling primary keys and inheritance. Key points include:
- Implement domain model as POJOs with getters/setters and use Hibernate XML mappings to connect to database
- Map properties and identifiers, handle one-to-many and many-to-one associations
- Support inheritance with single table, joined subclass, or table per concrete class strategies
- Ensure bidirectional relationships are properly managed
Object relational mapping (ORM) tools like Hibernate map objects to relational databases to reduce code and improve productivity. While ORMs can simplify development, they may impact performance or control. NoSQL databases offer alternative data models like key-value, document, and graph structures suited for certain applications.
JDXA is an amazingly simple, flexible, non-intrusive, feature-rich, and lightweight ORM (Object Relational Mapping) product for Android.
JDXA dramatically decreases development time of Android apps by presenting a more intuitive object-oriented view of on-device SQLite data, eliminating the need to write and maintain endless lines of complex low-level SQL code.
Johannes Schlüter's PHPNW08 slides:
The current PHP version, PHP 5.3 introduced a multitude of new language features, most notably namespaces and late static binding, new extensions such as phar, as well as numerous other improvements. Even so, this power-packed release boasts better performance than older PHP releases. This talk will give you a good overview about PHP 5.3 and show some less known features in detail.
Hin síðari ári hafa komið fram lausnir sem varpa gögnum sjálfkrafa í töflugagnagrunna. Þetta er svoköllum Object-Relational Mapping tól. Þar sem slík vörpun er svo algeng þá má nota svo tól til að framkvæma vörpunina sjálfkrafa. Tilvik af klasa í minni er sjálfkrafa varpað á töflu í gunninum. Eitt tól sem gerir þetta er Hibernate og munum við skoða það nánar.
Við skoðum einnig NoSQL grunna en þessir grunnar hafa komið fram með 21. allar vefkerfum sem þurfa að skala yfir mjög margar nóður. Þar hentar Releational grunnurinn illa og önnur módel hafa verið reynd.
This document discusses object-relational mapping (ORM) in PHP. It describes how ORM manages the translation between objects and relational databases. It then covers some common ORM patterns like active record, table gateways and data mappers. It also discusses performance issues with ORM and alternatives like object databases, document databases and JSON storage. Overall, the document suggests carefully choosing an ORM library and considering whether ORM is really needed or if alternative data storage may be better suited.
The document compares the performance of Linq to SQL and Entity Framework, discussing their architectures and identifying potential performance bottlenecks like infrastructure initialization, mapping overhead, and materialization. It outlines various performance optimization techniques for each like using views pre-generation in EF, turning off tracking, compiling Linq queries, and adjusting lazy vs eager loading. A series of tests are described that analyze the performance impacts of these different strategies using simple and advanced data retrieval and modification scenarios on a sample Northwind database.
Automated functional size measurement for three tier object relational mappin...IWSM Mensura
This document summarizes a presentation on automated functional size measurement for three-tier object relational mapping architectures. It discusses three-tier ORM architectures and a proposed COSMIC measurement mapping for them. It then describes an automated measurement tool developed to implement this mapping for applications built with ASP.NET, C#, and NHibernate. The tool was tested on an open-source case study, and results showed high accuracy for data movements but lower accuracy for entries and exits due to variability in implementation. The presentation concludes that the approach is currently limited but shows potential for improving measurement efficiency with some expansion.
한국 표준(?) 자바셋(Java 1.6+Spring 3.x+MyBatis)과 Monolithic 아키텍처를 사용하고 있었던 제 조직 내에서 기술적 변화를 이끌어가는 것에 관련된 내용입니다.
변화를 유도하기 위해서 어떻게 해야 하는지가 핵심이며,
Architecture, Frontend, Backend, 방법론/프로세스의 영역을 각각의 단계로 나누어서 Phase1을 수행한 것과 Phase2를 수행 중인 내용에 대해서도 다룹니다.
Phase1
- Architecture : Frontend / Backend 명시적 분리
- Frontend : Angular.js, Grunt, Bower 도입
- Backend : Java 1.7/Spring4, ORM 도입
- 방법론/프로세스 : Scrum, Git
Phase2
- Architecture : Micro-Service Architecture(MSA)
- Frontend : Content Router, E2E Test
- Backend : Polyglot, Multi-Framework
- 방법론/프로세스 : Scrum+JIRA, Git Branch Policy, Pair Programming, Code Workshop
The document discusses various .NET component technologies including Component Object Model (COM), Distributed COM (DCOM), ActiveX controls, and .NET components. It also covers related concepts like assemblies, AppDomains, contexts, and reflection. COM is an interface standard introduced by Microsoft in 1993 to enable interprocess communication and dynamic object creation. DCOM extends COM to enable communication across networked computers. ActiveX controls allow embedding functionality in web pages. .NET components provide a programmable interface accessed by client applications.
This presentation provides an overview of Entity Framework. Entity Framework is an object-relational mapping framework that allows developers to access and manage relational data using domain-specific objects. It supports three main approaches: model first, where the database model is designed first; code first, where classes are created and then used to generate the database; and database first, where an existing database is used to generate the entity framework model. Some advantages of Entity Framework include reduced development time, the ability to work with an object model independent of the physical database schema, and language-integrated query support.
The document discusses V.I.P.E.R., an architectural pattern for mobile applications. It consists of View, Interactor, Presenter, Entity, and Routing components. The View displays data from the Presenter without directly requesting it. The Interactor contains business logic independently of the user interface. The Presenter handles displaying views and communicating between View and Interactor. Entities are basic data models changed only by Interactors. Routing manages screen navigation. V.I.P.E.R. allows for testability and cross-platform logic but adds complexity compared to simpler architectures.
This document provides an overview of the Spring framework, including:
- A brief history of Spring's development from 2002 to present.
- An overview of Spring's key features like lightweight containers, declarative transactions, and dependency injection.
- An explanation of Spring's layered architecture including presentation, service, and persistence layers.
- A discussion of why Spring was created to simplify enterprise application development and reduce complexity.
- An outline of Spring's various modules that can be selectively used in applications.
Learn Entity Framework in a day with Code First, Model First and Database FirstJibran Rasheed Khan
Learn Entity Framework in a day with Code First, Model First and Database First
•Introduction to Entity Framework (EF)
•Architecture
•What’s new!
•Different approaches to work with (Code first, Database first and model first)
•Choosing right work model
•Pictorial Tour to each model
•Features & Advantages
•Question & Answer
for any help and understanding feel free to contact
thank you
Тема доклада «React и его архитектурная периферия»
React - мощнейшая библиотека для создания технических интерфейсов, но порой одного реакта не достаточно для полноценной и гибкой разработки. Мы будем обсуждать и сравнивать разные подходы для разработки современных React приложений.
В программе: React&Redux, React&Meteor, React&Relay, React&MobX, React&PRPL
This document provides an introduction to Entity Framework (EF), an object-relational mapping framework for .NET. It defines ORM and explains why it is useful for storing business objects in a relational database. EF is introduced as an open-source ORM that allows developers to write LINQ queries and interact with data as strongly-typed objects. Key EF concepts are defined, including entities, the entity data model, and the context class. The session concludes by outlining topics for future sessions and listing resources for further EF learning.
An Introduction To Model View Controller In XPagesUlrich Krause
This document outlines an introduction to the model-view-controller (MVC) pattern presented by Ulrich Krause. The presentation covers the basics of MVC including its history, components, and interaction. It provides an example application to demonstrate how MVC can help address challenges with software quality and maintenance for applications with code spread across different languages and locations. The example shows how interfaces, data access objects, and refactoring can help adapt an application to use different data sources.
This document provides an introduction and overview of CORBA (Common Object Request Broker Architecture). It discusses how distributed applications have data, computation, and users distributed across multiple computers. It then outlines some fundamental realities of distributed systems, such as communication being slower and objects failing separately. It introduces CORBA as a standard for distributed objects and describes CORBA architecture, services, and products.
In this session you will learn:
Understand Spring framework overview & its salient features
Spring concepts (IoC container / DI)
Spring-AOP basics
Spring ORM / Spring DAO overview
Spring Web / MVC overview
For more information, visit: https://www.mindsmapped.com/courses/software-development/java-developer-training-for-beginners/
This document provides an overview of model-view-controller (MVC) patterns and their use in software development. It discusses how MVC separates an application's frontend from its backend code to improve quality and maintenance. The document outlines the history and components of MVC, provides an example application, and discusses how interfaces can help adapt an application to different data sources.
Domain-driven design (DDD) is an approach that connects software implementation to an evolving model of the core business concepts. It focuses on placing the project's primary emphasis on the domain and domain logic. DDD provides a structure for design decisions that accelerate projects dealing with complex domains. The core aspects of DDD include defining a ubiquitous language, building domain models, separating domain models from infrastructure concerns, and establishing context boundaries for models. DDD aims to create a common language between business and technical stakeholders and improve reusability and testability of domain objects.
This document discusses Sitecore development on the ASP.NET 5 platform. It introduces key concepts in ASP.NET 5 like DNX, .NET Core, and dependency injection. It emphasizes that ASP.NET 5 enables looser coupling and reduced dependencies through its componentized approach. The document provides tips for dependency injection, including distinguishing between newables and injectables, and using a composition root. It demonstrates how to configure Sitecore for MVC and WebForms on ASP.NET 5, and includes code samples for dependency injection containers and application configuration. The overall message is that ASP.NET 5 represents a significant change that Sitecore developers should start learning now to plan and educate themselves on these new patterns and practices.
Microservices, Docker deploy and Microservices source code in C#Karmanjay Verma
Microservices concepts, Monolithic vs Microservices,
Docker deployment and Microservices source code in C#
https://github.com/KPCodeLearning/MicroservicesAPICoreDocker
https://www.linkedin.com/in/karmanjayverma/
This was from the IBM Interconnect Conference in 2017 - it contains best practices and recommendations for things to think about when migrating to microservices
This document provides an overview of the IoT-A ARM (Architecture Reference Model). It describes the main components of the ARM including the reference model, reference architecture, functional view, information view, development and operation view, and perspectives. The reference model includes domain, physical entity, virtual entity, user, device, resource, and service models. The functional view describes functional components and their interactions, such as IoT process management, service organization, IoT services, virtual entity, communication, security, and management. The information view and development/operation view also provide architectural views. Finally, perspectives like evolution/interoperability, performance/scalability, trust, security, privacy, availability are discussed at a high level.
Mobile App Architectures & Coding guidelinesQamar Abbas
This document discusses various app architectures and coding best practices. It covers design patterns like MVC, MVP, MVVM and architectural concepts like dependency injection. It provides examples of these patterns and concepts for Android development. It also lists some important Android libraries and recommends focusing on app architecture for benefits like scalability, maintainability and testability.
Andrii Sliusar "Module Architecture of React-Redux Applications"LogeekNightUkraine
This document discusses module architecture for React-Redux applications. It recommends splitting an application into semantically named modules to improve development speed, scalability, and reduced maintenance costs. The modularity level depends on the application scale, with everything identifiable as a separate component separated. Minimal connectivity between modules ensures the architecture remains scalable and readable. Business logic and data models should be extracted and organized by domain. Selectors wire components to the state model in a clear way. Actions are standardized between modules. A modular architecture has pros like scalability and reduced costs, and a potential con of increased number of files/folders.
Similar to Object-Relational Mapping and Dependency Injection (20)
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
3. What is ORM?
• Object Relational Mapping is a technique for converting between
incompatible type systems in Object Oriented (OO) programming.
• Primary use is to map between business objects in the application layer and
a relational database.
• Also can be used to map from business object models to data transfer
objects (DTO) or a view model.
4. ORM Advantages and Disadvantages
• Compared to traditional techniques of exchange between an object-oriented
language and a relational database, ORM often reduces the amount of code
that needs to be written.
• Compared to traditional techniques, ORM greatly improves the speed of
application development.
• ORM tools add complexity in areas where proprietary, or database-specific
techniques have been highly optimized.
• Most ORM tools do not perform well during bulk deletions of data or joins.
• Stored procedures may have better performance, but are not portable.
• Object-relational impedance mismatch can result if the business object
model does not closely match the relational data structure.
7. What is the Entity Framework (EF)?
• EF is Microsoft’s recommended data access technology for new
applications.
• EF is an object-relational mapper that enables .NET developers to work with
relational data using domain-specific objects.
• Supported Databases
• SQL Server
• MySQL
• Oracle
• Sybase
• Any other database that provides an ADO.NET data provider
8. EF Use Patterns
• Database First
• Model First
• Code First
• Code First Migrations
10. What is Inversion of Control (IoC)?
• IoC is an object-oriented programming practice where the object coupling is
bound at run time by an assembler object and is typically not known at
compile time using static analysis.
• Inversion of control as a design guideline serves the following purposes:
• There is a decoupling of the execution of a certain task from
implementation.
• Every module can focus on what it is designed for.
• Modules make no assumptions about what other systems do but rely on
their contracts.
• Replacing modules has no side effect on other modules.
11. What is Dependency Injection (DI)?
• DI is a software design pattern that allows a choice of component to be
made at run-time rather than compile time.
• The binding of objects in the IoC pattern is accomplished through DI.
• Dependency injection involves at least three elements:
• A dependent consumer,
• A declaration of a component's dependencies, defined as interface
contracts,
• An injector (usually referred to as a container) that creates instances of
classes that implement a given dependency interface on request.
12. Why use IoC and DI?
• Encourages Separation of Concerns
• Facilitates unit testing by allowing mock object with known behaviors to be
injected
• Promotes loose coupling between application layers, allowing
implementations to be changed as necessary (i.e. mocks to SQL Server to
Oracle)
15. What is Unity and Why Use It?
• The Unity Application Block (Unity) is a lightweight extensible dependency
injection container
• Unity is developed and maintained by the Microsoft Patterns and Practices
team
• Unity is fully configurable using standard .NET config file patterns or through
code initialization